learn

1、统计每个sentence的单词数量并画出分布图（使用的脚本为im1.py)

2、使用脚本（t1_A.py）对train.csv数据进行预处理并生成pickle文件

3、使用脚本（imdb_cnn_A.py）对数据使用cnn模型进行训练

4、使用脚本（bilstm_A.py）对数据使用bilstm模型进行训练

Name		Name	Last commit message	Last commit date
Latest commit History 57 Commits
2018.10.29-11.4_learn_report.md		2018.10.29-11.4_learn_report.md
2018.11.12-11.18_learn_report.md		2018.11.12-11.18_learn_report.md
2018.11.19-2018.11.25_learn_report.md		2018.11.19-2018.11.25_learn_report.md
2018.11.26-2018.12.2_learn_report.md		2018.11.26-2018.12.2_learn_report.md
2018.11.5-11.11_learn_report.md		2018.11.5-11.11_learn_report.md
2018.12.3-12.9_learn_report.md		2018.12.3-12.9_learn_report.md
Classifier_BiLSTM_Attention.py		Classifier_BiLSTM_Attention.py
Classifier_BiLSTM_Attention_A.py		Classifier_BiLSTM_Attention_A.py
Classifier_BiLSTM_Attention_embeed_voting.py		Classifier_BiLSTM_Attention_embeed_voting.py
README.md		README.md
Task_A_account_kind_of_labels.py		Task_A_account_kind_of_labels.py
Test_A.csv		Test_A.csv
Training_A.csv		Training_A.csv
Training_A2.csv		Training_A2.csv
bilstm_A.py		bilstm_A.py
im1.py		im1.py
imdb_bidirectional_lstm_A.py		imdb_bidirectional_lstm_A.py
imdb_cnn_A.py		imdb_cnn_A.py
label.py		label.py
predict_labels_to_csv.py		predict_labels_to_csv.py
run_classifier.py		run_classifier.py
submission.csv		submission.csv
t1_A.py		t1_A.py
task9_A_单词分布图.png		task9_A_单词分布图.png
voting_classifier.py		voting_classifier.py

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